Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

There's an argument that music and the arts are dumbed down by the fact that, for instance, making an album worth $10 to millions of people pays way better than making an album worth a million dollars to tens of people, since the album is going to get priced at $10 one way or the other. It only just now occurred to me that the same phenomenon applies to tools.

I think you might get a better answer if you rewrote your prompt using full sentences and more formal language.

Could you please provide me with a query for my PostgreSQL table? It consists of three columns: 'id,' 'teaser,' and 'full_text,' all of which are of type 'text.' Most 'full_text' entries are articles around 1000 words in length. I'd like to update the 'teaser' column for each row with the first approximately 200 words from the 'full_text' column. How can I achieve this?

Phind:

  CREATE OR REPLACE FUNCTION get_first_n_words(text, integer)
  RETURNS text AS $$
  DECLARE
     word_count integer := 0;
     word_start integer := 1;
     word_end integer;
  BEGIN
     WHILE word_count 

  UPDATE your_table_name
  SET teaser = (
      SELECT STRING_AGG(word, ' ') 
      FROM (
          SELECT SPLIT_PART(full_text, ' ', i) AS word
          FROM generate_series(1, 200) AS i
      ) AS words
      WHERE word  ''
  )
  WHERE full_text IS NOT NULL;